\begin{table}[!ht]
\caption{Evaluating whether factors related to household opportunity costs confound estimates of the relationship between education and participation}
\label{} 
\begin{tabular}{ l D{.}{.}{3}D{.}{.}{3}D{.}{.}{3}D{.}{.}{3}D{.}{.}{3} } 
\hline 
  & \multicolumn{ 1 }{ c }{ DV=No. bros. } & \multicolumn{ 1 }{ c }{ DV=Rebel } & \multicolumn{ 1 }{ c }{ DV=Wealth } & \multicolumn{ 1 }{ c }{ DV=Rebel } & \multicolumn{ 1 }{ c }{ DV=Rebel } \\ \hline
 %                          & DV=No. bros.     & DV=Rebel         & DV=Wealth        & DV=Rebel         & DV=Rebel        \\ 
(Constant)                 & 3.694 ^{***}     & 0.042 ^*         & 1.929 ^{***}     & 0.030            & 0.029           \\ 
                           & (0.696)          & (0.021)          & (0.157)          & (0.021)          & (0.021)         \\ 
Age in 1972                & -0.009           & -0.001 ^*        & 0.002            & -0.001 ^*        & -0.001 ^*       \\ 
                           & (0.017)          & (0.000)          & (0.014)          & (0.000)          & (0.000)         \\ 
Age in 1972 sq.            & -0.001           & 0.000            & 0.002            & 0.000            & 0.000           \\ 
                           & (0.001)          & (0.000)          & (0.001)          & (0.000)          & (0.000)         \\ 
Subj. ed.                  & 0.050            & 0.003 ^{***}     & 0.078 ^{***}     & 0.002 ^{**}      & 0.002 ^{**}     \\ 
                           & (0.042)          & (0.001)          & (0.023)          & (0.001)          & (0.001)         \\ 
Father's ed.               & 0.004            & 0.002 ^\dagger  & 0.059 ^*         & 0.002            & 0.002           \\ 
                           & (0.040)          & (0.001)          & (0.028)          & (0.001)          & (0.001)         \\ 
Number of brothers in 1993 &                  & 0.000            &                  &                  & 0.000           \\ 
                           &                  & (0.001)          &                  &                  & (0.001)         \\ 
Wealth index               &                  &                  &                  & 0.007 ^*         & 0.007 ^*        \\ 
                           &                  &                  &                  & (0.003)          & (0.003)          \\
 $N$                        & 905              & 905              & 905              & 905              & 905             \\ 
$R^2$                      & 0.112            & 0.026            & 0.178            & 0.028            & 0.028           \\ 
adj. $R^2$                 & 0.089            & -0.000           & 0.156            & 0.002            & 0.001           \\ 
Resid. sd                  & 48.175           & 4.252            & 27.804           & 4.248            & 4.250            \\ \hline
 \multicolumn{6}{l}{\footnotesize{Weighted least squares estimates.}}\\
\multicolumn{6}{l}{\footnotesize{Standard errors account for clustering at the commune level.}}\\
\multicolumn{6}{l}{\footnotesize{(Number of clusters is 65.)}}\\
\multicolumn{6}{l}{\footnotesize{All models control for pre-war province fixed effects and survival probability.}}\\
\multicolumn{6}{l}{\footnotesize{In results columns 1 and 3, subj. ed. and father's ed. are jointly significant with p < .05.}}\\
\multicolumn{6}{l}{\footnotesize{$^\dagger$ significant at $p<.10$; $^* p<.05$; $^{**} p<.01$; $^{***} p<.001$}} 
\end{tabular} 
 \end{table}
Analysis of Variance Table

Model 1: brosever ~ age1972 + I(age1972^2) + logitsurv + as.factor(adm1npre)
Model 2: brosever ~ age1972 + I(age1972^2) + dm11 + dm12 + logitsurv + 
    as.factor(adm1npre)
  Res.Df     RSS Df Sum of Sq      F  Pr(>F)  
1    883 2063571                              
2    881 2044663  2     18908 4.0736 0.01734 *
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Analysis of Variance Table

Model 1: wealth ~ age1972 + I(age1972^2) + logitsurv + as.factor(adm1npre)
Model 2: wealth ~ age1972 + I(age1972^2) + dm11 + dm12 + logitsurv + as.factor(adm1npre)
  Res.Df    RSS Df Sum of Sq      F    Pr(>F)    
1    883 754412                                  
2    881 681068  2     73344 47.437 < 2.2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
